LAION-AI / LAION-AI/CLIP_benchmark

Add XMRec multilingual retrieval benchmark

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new datasets
Dominant language
Python
Stars
814
Forks
103
PR merge metrics
No merged PRs in 30d

Description

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Read the XMRec project linked in the issue to understand the multilingual retrieval benchmark and its expected evaluation data. Then inspect the repository's existing CLIP-like evaluation structure to identify the integration point. Done means XMRec is supported as a reproducible benchmark, with its retrieval results included in the evaluation workflow.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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